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Bincike mai mahimmanci kan tsarin da'a na AI, kalubalen ayyana Amfanin Jama'a, da kuma tsarin gwajin tsaro na da'a don haɓaka AI mai alhaki.

Binciken tsarin AI mai rarrabawa ta amfani da IPFS, magance iyakokin cibiyoyin AI na tsakiya ta hanyar fasahohin Web3, libraries, da aiwatar da hujja.

Tsarin rarraba don inganta sanyawa, zaɓi, da karkatar da sabis na AI a cikin hanyoyin sadarwar wayar hannu, yana magance ma'auni tsakanin ingancin sabis da jinkiri.

Bincike kan inganta ƙididdigar ETo ta amfani da samfurorin XGBoost, SVM, da Random Forest tare da mafi ƙarancin sigogi idan aka kwatanta da ma'auni na gargajiya a yankin Meknes na Morocco.

Cikakken bincike kan tsarin GDP don hanyoyin sadarwa na rarraba na jiki, yana rufe tsarin fasaha, hanyoyin tsaro, da aikace-aikacen duniya.

Bincike kan haɗin Hankalin Dan-Adam da Na'urar Hankali (H-AI) a cikin kwamfutar zamantakewa, magance gazawar AI da gabatar da tsari mai sassa huɗu don ingantaccen warware matsalolin zamantakewa.

Perspective on machine learning applications for building energy optimization and indoor environment prediction using ANN models and hybrid approaches.

Cikakken bitar aikace-aikacen koyon injini a cikin gine-gine masu hikima don kiyaye makamashi, jin daɗin mazauna, da aiki mai dorewa.

Binciken bukatu na AI na kyautatawa, mai mai da hankali kan tsarin matsaloli, kalubalen aiwatarwa, da hanyoyin tasiri mai girma a cikin ci gaba mai dorewa.

Nazarin tasirin muhalli na AI da tsarin tsari don ci gaban AI mai dorewa, ya ƙunshi fassarar GDPR, tanade-tanaden Dokar AI, da shawarwarin manufofi.

Nazarin yadda al'adar kamfani ke tasiri aiwatar da dorewar AI, gami da damammaki, hatsarori, da abubuwan tsarin don haɓaka AI mai alhaki daidai da Manufofin Ci Gaban Majalisar Ɗinkin Duniya.